Vidit Jain
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Image Retrieval and Classification Techniques
- Advanced Neural Network Applications
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Face and Expression Recognition 3
- Face recognition and analysis 3
- Image Retrieval and Classification Techniques 2
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- Text and Document Classification Technologies 5
- Machine Learning and Data Classification 3
- Topic Modeling 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Erik Learned-Miller (6 shared papers)Gary B. Huang (1 shared paper)Manik Varma (2 shared papers)Andrew McCallum (1 shared paper)Rohit Kumar Kaliyar (1 shared paper)Pratik Narang (1 shared paper)Yashvardhan Sharma (1 shared paper)Anurag Goswami (1 shared paper)
- Journals
- Proceedings of the VLDB Endowment (1 paper)Neural Computing and Applications (1 paper)Lecture notes in computer science (1 paper)PubMed (1 paper)ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (4 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Vidit Jain
15 papers receiving 1.3k citations
Vidit Jain's Hit Papers
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 1.1k
- Signal Processing 229
- Computational Mathematics 5
- Artificial Intelligence 242
- Human-Computer Interaction 32
Countries citing papers authored by Vidit Jain
This map shows the geographic impact of Vidit Jain's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vidit Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidit Jain more than expected).
Fields of papers citing papers by Vidit Jain
This network shows the impact of papers produced by Vidit Jain. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vidit Jain. The network helps show where Vidit Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Vidit Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | FDDB: A benchmark for face detection in unconstrained settings Hit paper breakdown → | 2010 | 665 |
| 2 | 2007 | 260 | |
| 3 | 2011 | 134 | |
| 4 | 2011 | 92 | |
| 5 | 2021 | 46 | |
| 6 | 2007 | 29 | |
| 7 | 2008 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2005 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2013 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2013 | 4 | |
| 14 | 2024 | 2 | |
| 15 | 2014 | 1 | |
| 16 | Using context to enhance the understanding of face images | 2010 | 0 |
About Vidit Jain
Vidit Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Text and Document Classification Technologies (5 papers), Machine Learning and Data Classification (3 papers), Face and Expression Recognition (3 papers), Face recognition and analysis (3 papers), Topic Modeling (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Signal Processing (229 citations), Computational Mathematics (5 citations), Artificial Intelligence (242 citations) and Human-Computer Interaction (32 citations). Vidit Jain has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Erik Learned-Miller, Gary B. Huang, Manik Varma, Andrew McCallum, Rohit Kumar Kaliyar, Pratik Narang, Yashvardhan Sharma, Anurag Goswami, Jiebo Luo and Amit Kumar Singhal. Their work appears in journals such as Proceedings of the VLDB Endowment, Neural Computing and Applications, Lecture notes in computer science, PubMed and ScholarWorks@UMassAmherst (University of Massachusetts Amherst).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.